UPARSE: highly accurate OTU sequences from microbial amplicon reads

被引：0
作者：
Robert C Edgar
机构：
[1] Independent Investigator,
来源：
Nature Methods | 2013年 / 10卷
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学科分类号：
摘要：
To determine microbial community structure, the UPARSE software extracts operational taxonomic unit (OTU) representative sequences with high accuracy on the basis of amplified marker-gene sequences.
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页码：996 / 998
页数：2
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